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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Age</th>\n",
       "      <th>Attrition</th>\n",
       "      <th>BusinessTravel</th>\n",
       "      <th>DailyRate</th>\n",
       "      <th>Department</th>\n",
       "      <th>DistanceFromHome</th>\n",
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       "      <th>WorkLifeBalance</th>\n",
       "      <th>YearsAtCompany</th>\n",
       "      <th>YearsInCurrentRole</th>\n",
       "      <th>YearsSinceLastPromotion</th>\n",
       "      <th>YearsWithCurrManager</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>41</td>\n",
       "      <td>Yes</td>\n",
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       "      <td>1102</td>\n",
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       "      <td>8</td>\n",
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       "      <td>Life Sciences</td>\n",
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       "      <td>Yes</td>\n",
       "      <td>Travel_Rarely</td>\n",
       "      <td>1373</td>\n",
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       "      <td>2</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>33</td>\n",
       "      <td>No</td>\n",
       "      <td>Travel_Frequently</td>\n",
       "      <td>1392</td>\n",
       "      <td>Research &amp; Development</td>\n",
       "      <td>3</td>\n",
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       "      <td>2</td>\n",
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       "<p>5 rows × 35 columns</p>\n",
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      "text/plain": [
       "   Age Attrition     BusinessTravel  DailyRate              Department  \\\n",
       "0   41       Yes      Travel_Rarely       1102                   Sales   \n",
       "1   49        No  Travel_Frequently        279  Research & Development   \n",
       "2   37       Yes      Travel_Rarely       1373  Research & Development   \n",
       "3   33        No  Travel_Frequently       1392  Research & Development   \n",
       "4   27        No      Travel_Rarely        591  Research & Development   \n",
       "\n",
       "   DistanceFromHome  Education EducationField  EmployeeCount  EmployeeNumber  \\\n",
       "0                 1          2  Life Sciences              1               1   \n",
       "1                 8          1  Life Sciences              1               2   \n",
       "2                 2          2          Other              1               4   \n",
       "3                 3          4  Life Sciences              1               5   \n",
       "4                 2          1        Medical              1               7   \n",
       "\n",
       "   ...  RelationshipSatisfaction StandardHours  StockOptionLevel  \\\n",
       "0  ...                         1            80                 0   \n",
       "1  ...                         4            80                 1   \n",
       "2  ...                         2            80                 0   \n",
       "3  ...                         3            80                 0   \n",
       "4  ...                         4            80                 1   \n",
       "\n",
       "   TotalWorkingYears  TrainingTimesLastYear WorkLifeBalance  YearsAtCompany  \\\n",
       "0                  8                      0               1               6   \n",
       "1                 10                      3               3              10   \n",
       "2                  7                      3               3               0   \n",
       "3                  8                      3               3               8   \n",
       "4                  6                      3               3               2   \n",
       "\n",
       "  YearsInCurrentRole  YearsSinceLastPromotion  YearsWithCurrManager  \n",
       "0                  4                        0                     5  \n",
       "1                  7                        1                     7  \n",
       "2                  0                        0                     0  \n",
       "3                  7                        3                     0  \n",
       "4                  2                        2                     2  \n",
       "\n",
       "[5 rows x 35 columns]"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "#导入数据，地址根据文件地址更改\n",
    "df = pd.read_csv('HR-Employee-Attrition.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
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       "<p>5 rows × 31 columns</p>\n",
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      "text/plain": [
       "   Age Attrition     BusinessTravel  DailyRate              Department  \\\n",
       "0   41       Yes      Travel_Rarely       1102                   Sales   \n",
       "1   49        No  Travel_Frequently        279  Research & Development   \n",
       "2   37       Yes      Travel_Rarely       1373  Research & Development   \n",
       "3   33        No  Travel_Frequently       1392  Research & Development   \n",
       "4   27        No      Travel_Rarely        591  Research & Development   \n",
       "\n",
       "   DistanceFromHome  Education EducationField  EnvironmentSatisfaction  \\\n",
       "0                 1          2  Life Sciences                        2   \n",
       "1                 8          1  Life Sciences                        3   \n",
       "2                 2          2          Other                        4   \n",
       "3                 3          4  Life Sciences                        4   \n",
       "4                 2          1        Medical                        1   \n",
       "\n",
       "   Gender  ...  PerformanceRating  RelationshipSatisfaction  StockOptionLevel  \\\n",
       "0  Female  ...                  3                         1                 0   \n",
       "1    Male  ...                  4                         4                 1   \n",
       "2    Male  ...                  3                         2                 0   \n",
       "3  Female  ...                  3                         3                 0   \n",
       "4    Male  ...                  3                         4                 1   \n",
       "\n",
       "  TotalWorkingYears  TrainingTimesLastYear WorkLifeBalance  YearsAtCompany  \\\n",
       "0                 8                      0               1               6   \n",
       "1                10                      3               3              10   \n",
       "2                 7                      3               3               0   \n",
       "3                 8                      3               3               8   \n",
       "4                 6                      3               3               2   \n",
       "\n",
       "   YearsInCurrentRole  YearsSinceLastPromotion YearsWithCurrManager  \n",
       "0                   4                        0                    5  \n",
       "1                   7                        1                    7  \n",
       "2                   0                        0                    0  \n",
       "3                   7                        3                    0  \n",
       "4                   2                        2                    2  \n",
       "\n",
       "[5 rows x 31 columns]"
      ]
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     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#数据预处理\n",
    "df.nunique().nsmallest(10)  # 无效列值检查\n",
    "# EmployeeCount, Over18 and StandardHours 这些属性值完全相同\n",
    "# 删除无效列值\n",
    "df.drop(['StandardHours', 'EmployeeCount', 'Over18', 'EmployeeNumber'], axis=1, inplace=True)\n",
    "df.isnull().sum()  # 缺失值检查\n",
    "df[df.duplicated()]  # 重复值检查\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
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       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>591</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Age  Attrition  BusinessTravel  DailyRate  Department  DistanceFromHome  \\\n",
       "0   41          1               2       1102           2                 1   \n",
       "1   49          0               1        279           1                 8   \n",
       "2   37          1               2       1373           1                 2   \n",
       "3   33          0               1       1392           1                 3   \n",
       "4   27          0               2        591           1                 2   \n",
       "\n",
       "   Education  EducationField  EnvironmentSatisfaction  Gender  ...  \\\n",
       "0          2               1                        2       0  ...   \n",
       "1          1               1                        3       1  ...   \n",
       "2          2               4                        4       1  ...   \n",
       "3          4               1                        4       0  ...   \n",
       "4          1               3                        1       1  ...   \n",
       "\n",
       "   PerformanceRating  RelationshipSatisfaction  StockOptionLevel  \\\n",
       "0                  3                         1                 0   \n",
       "1                  4                         4                 1   \n",
       "2                  3                         2                 0   \n",
       "3                  3                         3                 0   \n",
       "4                  3                         4                 1   \n",
       "\n",
       "   TotalWorkingYears  TrainingTimesLastYear  WorkLifeBalance  YearsAtCompany  \\\n",
       "0                  8                      0                1               6   \n",
       "1                 10                      3                3              10   \n",
       "2                  7                      3                3               0   \n",
       "3                  8                      3                3               8   \n",
       "4                  6                      3                3               2   \n",
       "\n",
       "   YearsInCurrentRole  YearsSinceLastPromotion  YearsWithCurrManager  \n",
       "0                   4                        0                     5  \n",
       "1                   7                        1                     7  \n",
       "2                   0                        0                     0  \n",
       "3                   7                        3                     0  \n",
       "4                   2                        2                     2  \n",
       "\n",
       "[5 rows x 31 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#中文编码为数字\n",
    "from sklearn.preprocessing import LabelEncoder\n",
    "#LabelEncoder对非数字格式列编码\n",
    "dtypes_list=df.dtypes.values#取出各列的数据类型\n",
    "columns__list=df.columns#取出各列列名\n",
    "#循环遍历每一列找出非数字格式进行编码\n",
    "for i in  range(len(columns__list)):\n",
    "    if dtypes_list[i] == 'object':#判断类型\n",
    "        lb=LabelEncoder() # 导入LabelEncoder模型\n",
    "        lb.fit(df[columns__list[i]]) # 训练\n",
    "        df[columns__list[i]] = lb.transform(df[columns__list[i]]) # 编码\\\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "#查看各列相关性\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "corr=df.corr()\n",
    "corr.head()\n",
    "sns.heatmap(corr,xticklabels=corr.columns.values,yticklabels=corr.columns.values)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Age</th>\n",
       "      <th>Attrition</th>\n",
       "      <th>BusinessTravel</th>\n",
       "      <th>DailyRate</th>\n",
       "      <th>Department</th>\n",
       "      <th>DistanceFromHome</th>\n",
       "      <th>Education</th>\n",
       "      <th>EducationField</th>\n",
       "      <th>EnvironmentSatisfaction</th>\n",
       "      <th>Gender</th>\n",
       "      <th>...</th>\n",
       "      <th>MonthlyIncome</th>\n",
       "      <th>MonthlyRate</th>\n",
       "      <th>NumCompaniesWorked</th>\n",
       "      <th>OverTime</th>\n",
       "      <th>PerformanceRating</th>\n",
       "      <th>RelationshipSatisfaction</th>\n",
       "      <th>TrainingTimesLastYear</th>\n",
       "      <th>WorkLifeBalance</th>\n",
       "      <th>YearsAtCompany</th>\n",
       "      <th>YearsSinceLastPromotion</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>41</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1102</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>5993</td>\n",
       "      <td>19479</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>49</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>279</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>5130</td>\n",
       "      <td>24907</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>37</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1373</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>2090</td>\n",
       "      <td>2396</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>33</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1392</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2909</td>\n",
       "      <td>23159</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>591</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>3468</td>\n",
       "      <td>16632</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Age  Attrition  BusinessTravel  DailyRate  Department  DistanceFromHome  \\\n",
       "0   41          1               2       1102           2                 1   \n",
       "1   49          0               1        279           1                 8   \n",
       "2   37          1               2       1373           1                 2   \n",
       "3   33          0               1       1392           1                 3   \n",
       "4   27          0               2        591           1                 2   \n",
       "\n",
       "   Education  EducationField  EnvironmentSatisfaction  Gender  ...  \\\n",
       "0          2               1                        2       0  ...   \n",
       "1          1               1                        3       1  ...   \n",
       "2          2               4                        4       1  ...   \n",
       "3          4               1                        4       0  ...   \n",
       "4          1               3                        1       1  ...   \n",
       "\n",
       "   MonthlyIncome  MonthlyRate  NumCompaniesWorked  OverTime  \\\n",
       "0           5993        19479                   8         1   \n",
       "1           5130        24907                   1         0   \n",
       "2           2090         2396                   6         1   \n",
       "3           2909        23159                   1         1   \n",
       "4           3468        16632                   9         0   \n",
       "\n",
       "   PerformanceRating  RelationshipSatisfaction  TrainingTimesLastYear  \\\n",
       "0                  3                         1                      0   \n",
       "1                  4                         4                      3   \n",
       "2                  3                         2                      3   \n",
       "3                  3                         3                      3   \n",
       "4                  3                         4                      3   \n",
       "\n",
       "   WorkLifeBalance  YearsAtCompany  YearsSinceLastPromotion  \n",
       "0                1               6                        0  \n",
       "1                3              10                        1  \n",
       "2                3               0                        0  \n",
       "3                3               8                        3  \n",
       "4                3               2                        2  \n",
       "\n",
       "[5 rows x 25 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#黑色负相关,白色正相关\n",
    "'''通过热力图下，可以看到 \n",
    "MonthlyIncome 与 JobLevel 相关性较强；\n",
    "TotalWorkingYears 与 JobLevel 相关性较强；\n",
    "TotalWorkingYears 与 MonthlyIncome 相关性较强；\n",
    "PercentSalaryHike 与 PerformanceRating 相关性较强；\n",
    "YearsInCurrentRole 与 YearsAtCompany 相关性较强；\n",
    "YearsWithCurrManager 与 YearsAtCompany 相关性较强；\n",
    "StockOptionLevel与MaritalStatus成负相关，删除其中一列'''\n",
    "df.drop(['JobLevel', 'TotalWorkingYears', 'YearsInCurrentRole', 'YearsWithCurrManager',\n",
    "                    'PercentSalaryHike', 'StockOptionLevel'],axis=1, inplace=True)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "均值\n",
      "[-3.50437744e-17 -6.04203007e-17  5.07530526e-17 -1.35341473e-16\n",
      "  4.35026165e-17  7.00875488e-17  3.86689924e-17  1.30507849e-16\n",
      "  4.35026165e-17  1.69176842e-16  6.52539247e-17 -2.41681203e-17\n",
      " -9.18388570e-17  1.30507849e-16 -4.47110225e-17  3.02101503e-17\n",
      "  1.45008722e-17 -4.35026165e-17 -6.11453443e-16  9.66724811e-17\n",
      "  8.70052330e-17 -6.04203007e-18 -3.02101503e-17  1.20840601e-18]\n",
      "标准差\n",
      "[1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]\n"
     ]
    }
   ],
   "source": [
    "# 特征提取\n",
    "X = df.drop(['Attrition'], axis=1)\n",
    "y = df['Attrition']\n",
    "\n",
    "# 标准化数据\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "sc = StandardScaler()\n",
    "X = sc.fit_transform(X)\n",
    "mean = np.mean(X, axis=0)\n",
    "print('均值')\n",
    "print(mean)\n",
    "standard_deviation = np.std(X, axis=0)\n",
    "print('标准差')\n",
    "print(standard_deviation)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "训练集 X 的大小: (1102, 24)\n",
      "训练集 y 的大小: (1102,)\n",
      "测试集 X 的大小: (368, 24)\n",
      "测试集 y 的大小: (368,)\n"
     ]
    }
   ],
   "source": [
    "# 划分数据集\n",
    "from sklearn.model_selection import train_test_split\n",
    "#  此处填入你的代码。(1)\n",
    "# 划分数据集\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.25, random_state=42)\n",
    "\n",
    "# 检查划分后的数据集大小\n",
    "print(\"训练集 X 的大小:\", X_train.shape)\n",
    "print(\"训练集 y 的大小:\", y_train.shape)\n",
    "print(\"测试集 X 的大小:\", X_test.shape)\n",
    "print(\"测试集 y 的大小:\", y_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[-0.86767181,  0.59004834, -0.5218156 , ...,  0.33809616,\n",
       "        -0.65445374, -0.36871529],\n",
       "       [-0.10115885,  0.59004834,  0.20208225, ...,  0.33809616,\n",
       "        -0.98101416, -0.67914568],\n",
       "       [-0.32016256,  0.59004834,  1.29784543, ...,  0.33809616,\n",
       "         0.97834836,  0.25214551],\n",
       "       ...,\n",
       "       [-1.63418477, -0.91319439,  1.12430828, ...,  0.33809616,\n",
       "        -1.14429437, -0.67914568],\n",
       "       [-0.86767181,  0.59004834,  1.42675875, ...,  0.33809616,\n",
       "        -0.49117353, -0.67914568],\n",
       "       [ 1.43186707,  0.59004834, -1.33496114, ...,  0.33809616,\n",
       "        -0.98101416, -0.67914568]])"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy Score: 0.8858695652173914\n"
     ]
    }
   ],
   "source": [
    "from sklearn.svm import SVC\n",
    "from sklearn import metrics\n",
    "from sklearn.metrics import confusion_matrix\n",
    "from sklearn.metrics import accuracy_score\n",
    "from sklearn.metrics import roc_curve, auc\n",
    "\n",
    "# 默认\n",
    "svc=SVC()\n",
    "svc.fit(X_train,y_train)\n",
    "y_pred=svc.predict(X_test)\n",
    "\n",
    "#  输出Accuracy Score。此处填入你的代码。(2)\n",
    "print('Accuracy Score:', accuracy_score(y_test, y_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "支持向量: [[-0.86767181  0.59004834 -0.5218156  ...  0.33809616 -0.65445374\n",
      "  -0.36871529]\n",
      " [-0.10115885  0.59004834  0.20208225 ...  0.33809616 -0.98101416\n",
      "  -0.67914568]\n",
      " [-0.32016256  0.59004834  1.29784543 ...  0.33809616  0.97834836\n",
      "   0.25214551]\n",
      " ...\n",
      " [-1.41518107  0.59004834  0.44999247 ... -2.49382042 -0.98101416\n",
      "  -0.67914568]\n",
      " [ 1.76037262  0.59004834  0.90614728 ... -1.07786213 -0.81773395\n",
      "  -0.05828489]\n",
      " [-1.63418477 -0.91319439  1.12430828 ...  0.33809616 -1.14429437\n",
      "  -0.67914568]]\n"
     ]
    }
   ],
   "source": [
    "#输出支持向量\n",
    "print('支持向量:',np.matrix(svc.fit(X_train, y_train).support_vectors_))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 混淆矩阵\n",
    "y_pred = svc.predict(X_test)\n",
    "#  获取混淆矩阵。此处填入你的代码。(3)\n",
    "cnf_matrix = confusion_matrix(y_test, y_pred)\n",
    "class_names = [0, 1]  # name  of classes\n",
    "fig, ax = plt.subplots()\n",
    "tick_marks = np.arange(len(class_names))\n",
    "plt.xticks(tick_marks, class_names)\n",
    "plt.yticks(tick_marks, class_names)\n",
    "plt.tight_layout()\n",
    "plt.title('Confusion matrix', y=1.1)\n",
    "plt.ylabel('Actual label')\n",
    "plt.xlabel('Predicted label')\n",
    "# create heatmap\n",
    "sns.heatmap(pd.DataFrame(cnf_matrix), annot=True, cmap=\"YlGnBu\", fmt='g')\n",
    "ax.xaxis.set_label_position(\"top\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy: 0.8858695652173914\n",
      "Precision: 1.0\n",
      "Recall: 0.125\n",
      "F1_score: 0.2222222222222222\n"
     ]
    }
   ],
   "source": [
    "# 准确度、精确度和召回率\n",
    "print(\"Accuracy:\", metrics.accuracy_score(y_test, y_pred))\n",
    "print(\"Precision:\", metrics.precision_score(y_test, y_pred))\n",
    "print(\"Recall:\", metrics.recall_score(y_test, y_pred))\n",
    "#  输出F1_score。此处填入你的代码。(4)\n",
    "print(\"F1_score:\", metrics.f1_score(y_test, y_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#PR曲线\n",
    "from sklearn.metrics import precision_recall_curve\n",
    "y_scores = svc.decision_function(X_test)\n",
    "plt.figure(\"P-R Curve\")\n",
    "plt.title('Precision/Recall Curve')\n",
    "plt.xlabel('Recall')\n",
    "plt.ylabel('Precision')\n",
    "#y_test为样本实际的类别，y_scores为样本为正例的概率\n",
    "precision, recall, thresholds = precision_recall_curve(y_test, y_scores)\n",
    "#  绘制recall,precision曲线。此处填入你的代码。(5)\n",
    "plt.plot(recall, precision)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 绘制ROC曲线\n",
    "# 模型预测\n",
    "# sklearn_predict = sklearn_logistic.predict(X_test)\n",
    "# y得分为模型预测正例的概率\n",
    "# y_score = sklearn_logistic.predict_proba(X_test)[:,1]\n",
    "\n",
    "y_scores= svc.decision_function(X_test)\n",
    "\n",
    "# 计算不同阈值下，fpr和tpr的组合值，其中fpr表示1-Specificity，tpr表示Sensitivity\n",
    "fpr,tpr,threshold = metrics.roc_curve(y_test, y_scores)\n",
    "\n",
    "# 计算AUC的值\n",
    "roc_auc = metrics.auc(fpr,tpr)\n",
    "# 绘制面积图\n",
    "plt.stackplot(fpr, tpr, color='steelblue', alpha = 0.5, edgecolor = 'black')\n",
    "# 添加边际线\n",
    "plt.plot(fpr, tpr, color='black', lw = 1)\n",
    "# 添加对角线\n",
    "plt.plot([0,1],[0,1], color = 'red', linestyle = '--')\n",
    "# 添加文本信息\n",
    "plt.text(0.5,0.3,'ROC curve (area = %0.2f)' % roc_auc)\n",
    "# 添加x轴与y轴标签\n",
    "plt.xlabel('1-Specificity')\n",
    "plt.ylabel('Sensitivity')\n",
    "# 显示图形\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "准确率: 0.8502\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.metrics import accuracy_score\n",
    "\n",
    "# 加载数据集\n",
    "data = pd.read_csv(\"letterdata.csv\")\n",
    "\n",
    "# 将数据集分为特征和标签\n",
    "X = data.drop('letter', axis=1)\n",
    "y = data['letter']\n",
    "\n",
    "# 划分训练集和测试集\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.25, random_state=42)\n",
    "\n",
    "# 创建一个SVM模型并训练\n",
    "svm_model = SVC(kernel='linear')\n",
    "svm_model.fit(X_train, y_train)\n",
    "\n",
    "# 使用测试集评估模型\n",
    "y_pred = svm_model.predict(X_test)\n",
    "accuracy = accuracy_score(y_test, y_pred)\n",
    "print(\"准确率:\", accuracy)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "准确率: 0.8502\n",
      "混淆矩阵:\n",
      " [[182   1   0   0   0   0   1   0   0   2   0   0   0   0   0   0   0   1\n",
      "    1   0   1   1   0   0   1   0]\n",
      " [  1 165   0   4   1   0   0   5   1   0   0   0   0   1   0   1   0   5\n",
      "    1   0   0   3   0   0   0   0]\n",
      " [  0   0 144   0   0   2   4   2   0   0   6   1   0   0   4   0   0   0\n",
      "    0   0   2   0   0   0   0   0]\n",
      " [  0   8   0 184   0   0   0   2   0   1   1   0   0   3   2   0   0   1\n",
      "    0   2   0   0   0   0   0   0]\n",
      " [  0   1   6   0 170   0   8   0   0   0   0   2   0   0   0   0   0   1\n",
      "    4   2   0   0   0   0   0   1]\n",
      " [  0   0   1   0   2 154   2   1   2   2   0   0   0   2   0   1   0   0\n",
      "    3   4   0   0   0   1   1   0]\n",
      " [  1   1  11   4   2   0 150   1   0   0   5   1   0   0   0   0   9   1\n",
      "    4   0   0   4   1   0   0   0]\n",
      " [  1   4   1   9   1   2   1 110   0   2   6   0   0   2  11   1   3  16\n",
      "    0   0   2   0   0   2   1   0]\n",
      " [  0   1   0   3   0   3   1   0 156  10   0   2   0   0   0   0   2   0\n",
      "    3   0   0   0   0   4   0   2]\n",
      " [  5   0   0   1   0   3   0   1   9 157   0   0   0   0   0   0   1   1\n",
      "    5   0   0   0   0   1   0   1]\n",
      " [  0   0   3   4   3   0   2   1   0   0 129   0   0   0   0   0   0  21\n",
      "    0   0   0   0   0   2   0   0]\n",
      " [  0   1   3   1   8   0   3   1   0   0   1 167   0   0   1   0   4   0\n",
      "    1   0   0   0   0   0   0   0]\n",
      " [  2   2   0   0   0   0   0   1   0   0   0   0 193   0   0   0   0   4\n",
      "    0   0   2   0   5   0   0   0]\n",
      " [  1   1   1   3   0   0   0   7   0   0   2   0   1 173   0   0   0   1\n",
      "    0   0   0   0   0   0   1   0]\n",
      " [  4   0   1   5   0   0   2  14   0   1   0   0   2   0 139   0   1   2\n",
      "    0   0   1   0   4   0   0   0]\n",
      " [  0   1   0   0   0  16   6   0   1   0   1   1   0   0   2 176   0   0\n",
      "    1   0   0   0   0   0   5   0]\n",
      " [  4   4   0   3   6   0   9   1   0   1   1   1   0   0   3   1 158   1\n",
      "   11   0   0   1   0   0   1   2]\n",
      " [  4   5   1   4   0   0   4   7   0   0   3   1   1   3   0   0   0 161\n",
      "    0   0   0   1   0   1   0   0]\n",
      " [  1   9   0   1   6   2   7   0   4   0   0   4   0   0   0   1   5   0\n",
      "  149   2   0   0   0   1   0  15]\n",
      " [  0   0   0   1   2   3   0   2   0   0   1   0   0   0   0   0   0   1\n",
      "    4 176   0   0   0   0   4   7]\n",
      " [  1   0   0   1   0   0   2   2   0   0   1   0   5   3   1   0   0   1\n",
      "    0   1 202   0   3   0   0   0]\n",
      " [  1   2   0   0   0   0   1   3   0   0   0   0   1   1   0   3   0   0\n",
      "    0   0   0 176   1   0   2   0]\n",
      " [  0   0   0   0   0   0   1   1   0   0   0   0   2   1   0   0   0   0\n",
      "    0   0   2   4 173   0   0   0]\n",
      " [  0   1   0   3   2   1   0   0   2   0   5   3   0   0   0   0   0   1\n",
      "    2   2   0   0   0 180   0   1]\n",
      " [  2   0   0   1   0   4   0   1   0   0   0   0   0   0   0   0   0   0\n",
      "    1   8   0   6   0   3 185   0]\n",
      " [  2   0   0   0   3   0   0   0   0   8   0   0   0   0   0   0   1   0\n",
      "   17   0   0   0   0   0   0 142]]\n",
      "精确率: 0.8524691383150789\n",
      "召回率: 0.8502\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.metrics import accuracy_score, confusion_matrix, precision_score, recall_score\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# 加载数据集\n",
    "data = pd.read_csv(\"letterdata.csv\")\n",
    "\n",
    "# 将数据集分为特征和标签\n",
    "X = data.drop('letter', axis=1)\n",
    "y = data['letter']\n",
    "\n",
    "# 划分训练集和测试集\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.25, random_state=42)\n",
    "# 训练SVM模型\n",
    "clf = SVC(kernel='linear')\n",
    "clf.fit(X_train, y_train)\n",
    "\n",
    "# 预测测试集\n",
    "y_pred = clf.predict(X_test)\n",
    "\n",
    "# 计算准确率\n",
    "accuracy = accuracy_score(y_test, y_pred)\n",
    "print(\"准确率:\", accuracy)\n",
    "\n",
    "# 计算混淆矩阵\n",
    "confusion_mtx = confusion_matrix(y_test, y_pred)\n",
    "print(\"混淆矩阵:\\n\", confusion_mtx)\n",
    "\n",
    "# 计算精确率和召回率\n",
    "precision = precision_score(y_test, y_pred, average='weighted')\n",
    "recall = recall_score(y_test, y_pred, average='weighted')\n",
    "print(\"精确率:\", precision)\n",
    "print(\"召回率:\", recall)\n",
    "\n",
    "import seaborn as sns\n",
    "\n",
    "# 绘制混淆矩阵热图\n",
    "plt.figure(figsize=(10, 8))\n",
    "sns.heatmap(confusion_mtx, cmap='Blues', annot=True, fmt='d')\n",
    "\n",
    "# 添加标签和标题\n",
    "plt.xticks(np.arange(0.5, 26.5), [chr(i) for i in range(65, 91)])\n",
    "plt.yticks(np.arange(0.5, 26.5), [chr(i) for i in range(65, 91)])\n",
    "plt.xlabel('pre')\n",
    "plt.ylabel('true')\n",
    "plt.title('mtx')\n",
    "\n",
    "# 显示图形\n",
    "plt.show()"
   ]
  }
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